Sr. Data Engineer (Healthcare, Spark, Scala) - Remote

Title: Sr. Data Engineer, Healthcare
Location : 100% Remote
Target Start Date : ASAP
Type: contract or contract to hire
Pay Rate: DOE

Are you driven by working to improve our healthcare system through advanced technology? We need your expertise and integrity!

This role is 100% remote and we are looking for candidates who have healthcare domain expertise.

Responsibilities

• Design, maintain, and execute intermediate-to-advanced Apache Spark jobs (using RDDs, DataFrames, Datasets, and Structured Streaming) for data ingestion, transformation, validation, integration, and machine learning pipelines
• Develop, optimize, and refactor Scala-based Spark applications, including writing unit tests and conducting peer code reviews with a focus on performance and production-readiness
• Create, maintain, and enhance basic-to-intermediate SQL scripts for orchestration, data validation, and ETL operations. Tune SQL for efficient daily execution.
• Integrate LangChain into data workflows to support retrieval-augmented generation (RAG), prompt templates, and conversational or embedding-based data queries
• Use LangChain indexes and chains to interface with data stores like RDBMS, DataFrames, or CSV-enabling automated document analysis, summarization, and structured prompt pipelines
• Collaborate closely with engineering, DBAs, cloud ops, and data science teams to troubleshoot Spark cluster (e.g., Databricks / EMR), environmental, or network issues; support may include after-hours or weekend duty.
• Construct and sustain scalable data pipelines in cloud ecosystems (AWS, Azure, Google Cloud Platform, OCI), encompassing S3, Glue/EMR, Databricks, Kafka/Spark Streaming.
• Validate pipeline outputs to meet business and compliance requirements, ensuring data integrity and auditability.
• Follow all industry and organizational compliance guidelines.
• Track productivity, complete tasks via JIRA or similar ticketing systems, and deliver against performance goals.
• Support special projects (e.g., migration to Databricks, Snowflake integration, RAG workflows), and adapt responsibly to organizational change.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
• 5+ years experience with big data technologies (Spark, Scala, Hadoop, Kafka, Ray, etc.).
• Deep experience with Scala in Spark-writing idiomatic functional pipelines, optimizing Spark apps, leveraging DataFrame / Dataset APIs
• Intermediate to advanced Spark SQL, including query optimization and streaming design.
• LangChain proficiency: implementation of chains, prompt templates, retrieval workflows, and integration with LLMs/data systems .
• Cloud expertise (AWS/Azure/Google Cloud Platform/OCI), including Databricks, EMR, S3, Glue, Lambdas, Snowflake.
• Solid RDBMS skills (Oracle, MS SQL, Vertica), with strong SQL/PL-SQL or ETL experience for data integration.
• Prior experience in healthcare data (enrollment, medical/pharmacy claims) is preferred.
• Proficiency in Microsoft Office and project tools like JIRA.
• Familiarity with Databricks and/or Snowflake ecosystems.

Additional Requirements

• Highly analytical with a strong attention to detail.
• Exceptional verbal, written, and listening communication skills.
• Capable of independently managing multiple concurrent tasks and prioritizing under pressure.
• Comfortable working in both independent and team-based environments.

Welcome to ConsultNet and the family of companies, Tekne, SaltClick, TechBridge, and OmniMedia. As a premier national provider of technology talent and solutions, our expertise spans across project services, contract-to-hire, direct placement, and managed services both onshore and nearshore.

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